Approximation algorithms for the graph orientation minimizing the maximum weighted outdegree

Yuichi Asahiro, Jesper Andreas Jansson, Eiji Miyano, Hirotaka Ono, Kouhei Zenmyo

Research output: Journal article publicationJournal articleAcademic researchpeer-review

33 Citations (Scopus)

Abstract

Given a simple, undirected graph G = (V ,E) and a weight function w : E→ℤ+, we consider the problem of orienting all edges in E so that the maximum weighted outdegree among all vertices is minimized. It has previously been shown that the unweighted version of the problem is solvable in polynomial time while the weighted version is (weakly) NP-hard. In this paper, we strengthen these results as follows: (1) We prove that the weighted version is strongly NP-hard even if all edge weights belong to the set {1, k}, where k is any fixed integer greater than or equal to 2, and that there exists no pseudo-polynomial time approximation algorithm for this problem whose approximation ratio is smaller than (1 + 1/k) unless P = NP; (2) we present a new polynomial-time algorithm that approximates the general version of the problem within a ratio of (2-1/k), where k is the maximum weight of an edge in G; (3) we show how to approximate the special case in which all edge weights belong to {1, k} within a ratio of 3/2 for k = 2 (note that this matches the inapproximability bound above), and (2 -2/(k +1)) for any k ≤ 3, respectively, in polynomial time.
Original languageEnglish
Pages (from-to)78-96
Number of pages19
JournalJournal of Combinatorial Optimization
Volume22
Issue number1
DOIs
Publication statusPublished - 1 Jul 2011
Externally publishedYes

Keywords

  • Approximation algorithm
  • Degree
  • Graph orientation
  • Inapproximability
  • Maximum flow
  • Scheduling

ASJC Scopus subject areas

  • Discrete Mathematics and Combinatorics
  • Applied Mathematics
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Control and Optimization

Fingerprint

Dive into the research topics of 'Approximation algorithms for the graph orientation minimizing the maximum weighted outdegree'. Together they form a unique fingerprint.

Cite this